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Proceedings Paper

EO-1 Hyperion and ALI bands simulation to Landat 7 ETM+ bands and comparison
Author(s): Konstantinos G. Nikolakopoulos; Georgios Aim. Skianis; Dimitrios A. Vaiopoulos
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Paper Abstract

Numerous satellite sensor systems have been launched during the last twenty years and satellite data are increasingly being used in regional or global vegetation monitoring. The observation of global vegetation from multiple satellites requires much effort to ensure continuity and compatibility due to differences in sensor characteristics and product generation algorithms. More recently the launch of hyperspectral sensor like Hyperion make the compatibility problem even more difficult as the very narrow hyperspectral bands need to be simulated to the broader multispectral bands before proceed to any further comparison. In this study we tried to compare multispectral (Landsat ETM+ and EO-1 Advanced Land Imager) data with hyperspectral (Hyperion) data for the vegetation cover mapping of Milos Island. All the data were collected the same day within one-minute time. As a result the atmospheric conditions were exactly the same and that make the data ideal for comparison. The performance of the EO-1 Hyperion imaging spectrometer with the Advanced Land Imager (ALI) and the Landsat 7 ETM+ sensor was compared using a method that aggregated portions of the Hyperion 10 nm bands to simulate the broader multispectral bands of ALI and ETM+. The general process was to calculate a weighted sum of the Hyperion bands that covered each Landsat band. The weights used in the sum were derived, by comparing the spectral response of the hyperspectral bands with the respective multispectral band. The Normalized Difference Vegetation Index was used for the comparison of the three data sets and the results are presented in this study.

Paper Details

Date Published: 10 October 2007
PDF: 11 pages
Proc. SPIE 6742, Remote Sensing for Agriculture, Ecosystems, and Hydrology IX, 67420K (10 October 2007); doi: 10.1117/12.737941
Show Author Affiliations
Konstantinos G. Nikolakopoulos, Institute of Geology & Mineral Exploration (Greece)
Georgios Aim. Skianis, Univ. of Athens (Greece)
Dimitrios A. Vaiopoulos, Univ. of Athens (Greece)

Published in SPIE Proceedings Vol. 6742:
Remote Sensing for Agriculture, Ecosystems, and Hydrology IX
Christopher M. U. Neale; Manfred Owe; Guido D'Urso, Editor(s)

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